标题:Fuzzy-valued linguistic soft set theory and multi-attribute decision-making application
作者:Zhao Aiwu; Guan Hongjun
通讯作者:Zhao, AW
作者机构:[Zhao Aiwu] Jiangsu Univ, Sch Management, Zhenjiang, Peoples R China.; [Guan Hongjun] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 更多
会议名称:International Conference on Nonlinear Dynamics and Complexity
会议日期:MAY 11-15, 2015
来源:CHAOS SOLITONS & FRACTALS
出版年:2016
卷:89
页码:2-7
DOI:10.1016/j.chaos.2015.09.001
关键词:Soft set; Fuzzy set; Linguistic variables; Multiple attribute decision; making; Generalized weighted aggregation; Fuzzy-valued linguistic soft; set
摘要:In this work, we propose the theory of fuzzy linguistic soft set (FLSS) to represent the uncertainty and multi-angle of view when decision makers evaluate an object during dedsionmaking. FLSS integrates fuzzy set theory, linguistic variable and soft set theory, It allows decision makers to utilize linguistic variables to evaluate an object and utilize fuzzy values to describe the corresponding grade of their support of their decisions. Meanwhile, because of the flexibility of soft set, decision makers can use more than one pair of fuzzy-linguistic evaluations to express their opinions from multiple perspectives directly, if necessary. Therefore, it is more flexible and practical than traditional fuzzy set or 2-dimension uncertainty linguistic variable. We also develop a generalized weighted aggregation operator for FLSSs to solve corresponding decision-making issues. Finally, we give a numerical example to verify the practicality and effectiveness of the proposed method. (C) 2015 Elsevier Ltd. All rights reserved.
收录类别:CPCI-S;SCIE
WOS核心被引频次:3
资源类型:会议论文
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